CHAPTER 20 – Face Recognition from Video

[1]  Rama Chellappa,et al.  Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[2]  Rama Chellappa,et al.  Appearance Characterization of Linear Lambertian Objects, Generalized Photometric Stereo, and Illumination-Invariant Face Recognition , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Rama Chellappa,et al.  From sample similarity to ensemble similarity: probabilistic distance measures in reproducing kernel Hilbert space , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Patrick J. Flynn,et al.  A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition , 2006, Comput. Vis. Image Underst..

[5]  Trevor Darrell,et al.  Face recognition with image sets using manifold density divergence , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[6]  S. Hancocks.  Learning about learning , 2005, British Dental Journal.

[7]  Rama Chellappa,et al.  Image-based face recognition under illumination and pose variations. , 2005, Journal of the Optical Society of America. A, Optics, image science, and vision.

[8]  Jing Xiao,et al.  A Closed-Form Solution to Non-Rigid Shape and Motion Recovery , 2004, International Journal of Computer Vision.

[9]  Rama Chellappa,et al.  Visual tracking and recognition using appearance-adaptive models in particle filters , 2004, IEEE Transactions on Image Processing.

[10]  Rama Chellappa,et al.  A system identification approach for video-based face recognition , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[11]  Roberto Cipolla,et al.  Face Recognition from Face Motion Manifolds using Robust Kernel Resistor-Average Distance , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

[12]  R. Chellappa,et al.  Probabilistic identity characterization for face recognition , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[13]  Rama Chellappa,et al.  Illuminating light field: image-based face recognition across illuminations and poses , 2004, Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings..

[14]  Rama Chellappa,et al.  Characterization of Human Faces under Illumination Variations Using Rank, Integrability, and Symmetry Constraints , 2004, ECCV.

[15]  Pascal Fua,et al.  Regularized Bundle-Adjustment to Model Heads from Image Sequences without Calibration Data , 2000, International Journal of Computer Vision.

[16]  Michael J. Black,et al.  Recognizing Facial Expressions in Image Sequences Using Local Parameterized Models of Image Motion , 1997, International Journal of Computer Vision.

[17]  Takeo Kanade,et al.  Shape and motion from image streams under orthography: a factorization method , 1992, International Journal of Computer Vision.

[18]  P. Jonathon Phillips,et al.  Face Recognition Grand Challenge , 2004 .

[19]  Azriel Rosenfeld,et al.  Face recognition: A literature survey , 2003, CSUR.

[20]  Thomas Vetter,et al.  Face Recognition Based on Fitting a 3D Morphable Model , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[21]  Tsuhan Chen,et al.  Video-based face recognition using adaptive hidden Markov models , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[22]  Lior Wolf,et al.  Kernel principal angles for classification machines with applications to image sequence interpretation , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[23]  David J. Kriegman,et al.  Video-based face recognition using probabilistic appearance manifolds , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[24]  Andrew W. Fitzgibbon,et al.  Joint manifold distance: a new approach to appearance based clustering , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[25]  Alexander M. Bronstein,et al.  Expression-Invariant 3D Face Recognition , 2003, AVBPA.

[26]  Timothy J. Robinson,et al.  Sequential Monte Carlo Methods in Practice , 2003 .

[27]  R. Kondor,et al.  Bhattacharyya and Expected Likelihood Kernels , 2003 .

[28]  Rama Chellappa,et al.  Probabilistic recognition of human faces from video , 2002, Proceedings. International Conference on Image Processing.

[29]  Baback Moghaddam,et al.  Principal Manifolds and Probabilistic Subspaces for Visual Recognition , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[30]  Trevor Darrell,et al.  Face Recognition from Long-Term Observations , 2002, ECCV.

[31]  Ralph Gross,et al.  Eigen light-fields and face recognition across pose , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.

[32]  Terence Sim,et al.  The CMU Pose, Illumination, and Expression (PIE) database , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.

[33]  Rama Chellappa,et al.  A generic approach to simultaneous tracking and verification in video , 2002, IEEE Trans. Image Process..

[34]  Y. Wu,et al.  Dynamic Textures , 2003, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[35]  Matthew Brand,et al.  Morphable 3D models from video , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[36]  Zicheng Liu,et al.  Model-based bundle adjustment with application to face modeling , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[37]  P J. Phillips,et al.  Face Recognition Vendor Test 2000: Evaluation Report , 2001 .

[38]  Takeo Kanade,et al.  Recognizing Action Units for Facial Expression Analysis , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[39]  N. Mavridis,et al.  The HISCORE face recognition application : A ordable desktop face recognition based on a novel 3 D camera , 2001 .

[40]  Shigeo Abe DrEng.  Pattern Classification , 2001, Springer London.

[41]  Hoon Kim,et al.  Monte Carlo Statistical Methods , 2000, Technometrics.

[42]  Ramesh Raskar,et al.  Image-based visual hulls , 2000, SIGGRAPH.

[43]  Henning Biermann,et al.  Recovering non-rigid 3D shape from image streams , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[44]  Richard J. Martin.  A metric for ARMA processes , 2000, IEEE Trans. Signal Process..

[45]  K. Walker,et al.  View-based active appearance models , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).

[46]  B. Moor,et al.  Subspace angles and distances between ARMA models , 2000 .

[47]  A. Weinstein.  Almost invariant submanifolds for compact group actions , 1999, math/9908133.

[48]  Timothy F. Cootes,et al.  Active Appearance Models , 1998, ECCV.

[49]  Ken-ichi Maeda,et al.  Face recognition using temporal image sequence , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.

[50]  Marc Acheroy,et al.  Automatic Face Authentication from 3D surface , 1998, BMVC.

[51]  A. Johnston,et al.  The Role of Movement in Face Recognition , 1997 .

[52]  Hyeonjoon Moon,et al.  The FERET evaluation methodology for face-recognition algorithms , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[53]  Joshua B. Tenenbaum,et al.  Learning bilinear models for two-factor problems in vision , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[54]  Marc Levoy,et al.  Light field rendering , 1996, SIGGRAPH.

[55]  Richard Szeliski,et al.  The lumigraph , 1996, SIGGRAPH.

[56]  G. Kitagawa.  Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models , 1996 .

[57]  Rama Chellappa,et al.  Human and machine recognition of faces: a survey , 1995, Proc. IEEE.

[58]  Takeo Kanade,et al.  A Paraperspective Factorization Method for Shape and Motion Recovery , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[59]  A. Laurentini,et al.  The Visual Hull Concept for Silhouette-Based Image Understanding , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[60]  M. Turk,et al.  Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.

[61]  Josef Kittler,et al.  Pattern recognition : a statistical approach , 1982 .

[62]  Mukhtar M. Ali.  Analysis of stationary spatial-temporal processes: Estimation and prediction , 1979 .